Data / Analytics projects

HONK LIVE — Real-Time Mumbai Bus Tracker with Smart Leave-Time Intelligence

Reduced commute anxiety for 100% of test users by delivering real-time bus ETAs and auto-calculated leave times — zero taps to know wh…

PuneBusLive – Smart Commute Assistant

AI-powered PMPML bus assistant that helps Pune commuters choose the best route using ETA prediction, seat availability insights, and s…

IPL Match Momentum Analysis (2020–2024): What Truly Decides Victory?

Toss advantage creates perception, middle overs create control, and death overs create opportunities for comebacks.

IPL Analytics Dashboard

Built an interactive Tableau dashboard analyzing toss win rates, scoring phases, and top IPL performers from ball-by-ball data.

IPL CRUNCH '26 - Backed by 289,673 Balls of Data

Analyzed 289,673 IPL deliveries across 19 seasons to prove the toss is statistically irrelevant,while middle-over execution (+7.5 runs…

IPL Ball-by-Ball Analysis — Toss, Phase & Venue Intelligence Across 1,218 Matches

Analysed 289,673 IPL deliveries to prove that scoreboard pressure outweighs venue conditions — teams chasing 200+ at Chinnaswamy win o…

TRENDS IN T20 STRATEGY

Developed aquantitative framework to predict team performance by isolating high impact variables in T20 dynamics

ipl data analysis

Toss winners win just 51.5% of matches and Death overs playes crucial role in win

Pitch Vision Analytics: IPL AI Strategy Engine

Built a live IPL strategy engine with phase-aware win prediction, pressure-based player intelligence, and a legal over-by-over Captain…

IPL Analysis from 2008 till 2026

“The dashboard reveals how batting, bowling, toss decisions, and match phases influence team performance and winning outcomes in IPL h…

IPL CRUNCH '26: A Ball-by-Ball Data Analytics Report

IPL '26 Data: Toss is a 51.55% coin flip. Bowling first wins 54.7%. Middle overs are key (+7.78 gap). Death RPO splits: 11.27 vs 8.91.

IPL Crunch ’26: Decoding What Actually Wins IPL Matches

Analysed and built 4 specialized analytical datasets for toss analysis, phase-wise scoring, batting dominance, and bowling impact.

The Aggregation Paradox: A Multi-Layered Granularity Model for Predicting Cricket Scoreboard Gravity

Late-game speed wins critical moments, but steady middle-overs volume wins match tournaments.

IPL Crunch '26: Data-Driven Analysis of IPL Match Outcomes

Analyzed 1,239 IPL matches and 294,757 deliveries to uncover that middle-over dominance predicts victory more strongly than toss advan…

NEXTBALL — Data-Driven IPL Matches Analysis

Analyzed 15+ IPL seasons to uncover toss impact, venue advantage, and winning match patterns.

IPL Analytics

Toss don't really mtter, middle over are high stakes .

Wobble IPL Analytics

“IPL victories are influenced far more by death-over performance and finishing strength than by toss advantage alone.”

IPL Analytics Insights

Revealing How Toss Decisions, Match Phases, and Player Performances Shape IPL Victories.

IPL'26 Analytics

Processed multi-season IPL datasets to compare toss influence, scoring phases, and top player performances with data-backed insights.

IPL Match Intelligence: Data-Driven Analysis of Winning Patterns in T20 Cricket

Analyzed 200K+ IPL ball-by-ball records to uncover how death-over performance, batting consistency, and venue conditions influence mat…

Crunch-26 · IPL Data Challenge ·

Winning the toss means nothing. Middle overs win matches. The data proves what 76% of captains already knew.

IPL Crunch '26 — Ball-by-Ball Data Analytics · 289,673 Deliveries

Proved that field-first win rate collapsed from 65% to 43% as adoption hit 80% — and built 3 ML models confirming middle overs as the…

CricMind: High-Performance IPL Analytics & AI Simulator

Processes 395,011 deliveries across 1,226 matches in under 200ms with a fully offline, zero-latency browser intelligence engine.

IPL Crunch '26: 10 Cricket Clichés Tested. Most Didn't Survive.

The toss is a coin flip, Over 7 is the cheapest over in T20, and the real chase wall is 175. Backed by 19 seasons of ball-by-ball data…

IPL Insights Engine: ML-Powered Match Predictor & Player Scouting Dashboard

Achieved 82% match prediction accuracy by training a Random Forest classifier on 15+ years of historical IPL data.

StatShot: Turning IPL Data into a Winning Strategy Engine

Analyzed 289,673 ball by ball events to prove that +7.79 middle over run dominance is the strongest predictor of IPL match victory, ou…

Decoding IPL Victories Through Advanced Cricket Analytics

Analyzed 756 IPL matches and 179,000+ deliveries to uncover tactical patterns behind winning in modern T20 cricket.

IPL MatchPulse AI – Change One Ball, Rewrite the Match

Built an AI-powered IPL match simulator to predict win probability, simulate “what-if” scenarios, and explain how toss, player impact,…

IPL Crunch '26: What Actually Wins Matches — A Ball-by-Ball Intelligence Report

Proved toss is a coin flip (p=1.000) and death-over efficiency (+2.04 RPO) predicts the winner in all 17 of 17 IPL seasons

IPL Crunch Analytics Dashboard

Built a high-performance analytics application that processes ball-by-ball IPL records to provide actionable strategic data for franch…

IPL DATA ANALYSIS (2023-2026)

An interactive IPL analytics dashboard built using ball-by-ball data (2023–2026) that delivers deep insights into players, teams and v…

IPL InsightX – AI-Powered Cricket Analytics Studio

Analyzed IPL ball-by-ball datasets and built an AI-powered analytics platform with 9+ interactive visualizations, real-time filtering,…

IPL Crunch: Toss, Phase & Players Decoded from 278K Deliveries

Analyzed 278,034 deliveries across 18 seasons to prove the toss is a coin flip and the middle overs win games — validated on two datas…

🏏 IPL CRUNCH : Where Data Turns Into Game

IPL CRUNCH '26: Decoding 289K Deliveries with Advanced Analytics & Machine Learning

289K deliveries → 13 analytics modules, 30+ charts, 7 hidden patterns, 1 ML win-probability model.

The IPL Powerplay Paradox (2022-2026)

Don't watch the toss...Watch the wickets.....Watch the middle.